Automatic Color Nuclei Segmentation of Leukocytes for Acute Leukemia
نویسندگان
چکیده
منابع مشابه
Automatic Color Nuclei Segmentation of Leukocytes for Acute Leukemia
In this study, we used an efficient and simple technique for the automatic segmentation of nuclei of Leukocytes, which is not only accurate in the results but also fast as compared to other published algorithms. Leukemia is a blood cancer and has several types but all types begin from the cells in the bone marrow. Hematology, the study of blood is an important step for the diagnosis of various ...
متن کاملAutomatic Segmentation of Acute Leukemia Cells
The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing s...
متن کاملAutomatic Segmentation of Acute Leukemia Cells
The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing s...
متن کاملAutomatic Segmentation of Acute Leukemia Cells
The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing s...
متن کاملAutomatic Segmentation of Acute Leukemia Cells
The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing s...
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ژورنال
عنوان ژورنال: Research Journal of Applied Sciences, Engineering and Technology
سال: 2014
ISSN: 2040-7459,2040-7467
DOI: 10.19026/rjaset.7.631